检索结果-内蒙古大学图书馆

ProxaDyn: A Proximity-Aware Dynamic Caching Approach for Named Data Networks

IEEE Transactions on Network science and engineering 2025年第3期12卷 2360-2372页

作者： Kumari, Matta Krishna Tripathi, Nikhil Joshi, Piyush Indian Institute of Information Technology Computer Science and Engineering Group Sri City517 646 India Department of Computer Science and Engineering Dhanbad826 004 India

Named Data Network (NDN), a future Internet architecture is introduced to address the shortcomings of the current Internet architecture. NDN supports in-network caching to facilitate scalable content distribution and enhance overall network performance. However, the known NDN caching strategies suffer from a few common drawbacks, such as inefficient cache utilization, high content redundancy, and overhead due to lookup repetition. To address these issues, in this paper, we propose a novel caching strategy called ProxaDyn for efficient content lookup, placement, and replacement. During the content lookup phase, ProxaDyn interacts exclusively with the router responsible for caching a particular content. This eliminates interaction with other intermediate routers, thereby significantly reducing content access latency. For content placement, ProxaDyn strategically selects an on-path router based on content popularity. Popular content is placed in the cache of a router closer to the consumer, while less popular content is cached in a router away from the consumer. This approach significantly improves the cache hits and reduces the access latency. We test ProxaDyn over a diverse range of real-world network topologies. Using extensive experiments, we show that ProxaDyn could achieve significantly better results compared to the state-of-the-art NDN caching strategies. © 2013 IEEE.

关键词： Data communication systems

来源：评论

学校读者我要写书评

暂无评论

A Secure Healthcare Monitoring System for Disease Diagnosis in the IoT Environment

引用

Multimedia Tools and Applications 2025年第7期84卷 3767-3792页

作者： Verma, Ankit Gupta, Amit Kumar Kumar, Vipin Rajak, Akash Kumar, Sushil Panda, Rabi Narayan Department of Computer Applications KIET Group of Institutions Delhi-NCR Ghaziabad India Computer Science & Engineering KIET Group of Institutions Ghaziabad Delhi-NCR India

People who lead hectic lives daily suffer from a variety of illnesses, including diabetes, high blood pressure, hypertension, etc. For someone to survive, they must become aware of these illnesses promptly. The Internet of Things (IoT) and cloud computing are the two critical prerequisites for digital healthcare. In the present research, the attacked data are detected and removed using the security module to enhance the security of the healthcare system. However, an accurate prediction mechanism is needed for the early diagnosis of the diseases. To predict the sickness and its severity more accurately, a unique Dragon Fly-based Generalised Approximate Reasoning Intelligence Control (DF-GARIC) is devised in this article. This system was primarily responsible for preprocessing the cloud medical records entered into the system. Additionally, the regression algorithm extracts the relevant features. Based on the retrieved features, the dragonfly function is used to classify the disease and estimate its severity. Subsequently, a warning is given to the providers for the abnormal condition via SMS or e-mail. The system validated a higher accuracy level of 99.8% from the MATLAB execution. © The Author(s), under exclusive licence to Springer science+Business Media, LLC, part of Springer Nature 2024.

关键词： Internet of things

来源：评论

学校读者我要写书评

暂无评论

Integrated fuzzy-based gamma adaptive for image enhancement with color attenuation prior

引用

Multimedia Tools and Applications 2025年第12期84卷 11249-11267页

作者： Harne, Sachin Choubey, Siddhartha Choubey, Abha Department of Computer Application Shri Shankaracharya Group of Institution Chhattisgarh Bhilai India Department of Computer Science and Engineering Shri Shankaracharya Group of Institution Chhattisgarh Bhilai India

Images Quality in the Transportation industry is considered the most significant term and gains more attention among the higher authorities and researchers. Therefore, the accuracy level of the image has been evaluated with IQA (Image Quality Assessment). Most images are substantially affected by ambient lights that affect the quality of the image. In the existing research, the HVS (Human Visual System) has been utilized in order to identify the quality of images that occurred in both night and day time that affects the loss of luminance and information. In the current research, we proposed an integrated fuzzy-based Gamma Adaptive enhanced with Color Attenuation prior (IFGECAP) techniques that help capture the image's local characteristics. Eventually, the performance evaluation of the image whereas both input and output, has been evaluated with Natural image quality evaluator (NIQE), Blind/Reference less Image Spatial Quality Evaluator (BRISQUE), structural similarity index measure (SSIM), Signal-to-noise ratio (SNR), and Peak signal-to-noise ratio (PSNR). Hence, the fog removal will be classified as seasonal, such as rainy and foggy, utilizing CNN—Convolutional Neural Network. The proposed hybrid technique—IFGECAP, procured an efficient result when compared with the existing techniques. © The Author(s), under exclusive licence to Springer science+Business Media, LLC, part of Springer Nature 2024.

关键词： Signal to noise ratio

来源：评论

学校读者我要写书评

暂无评论

A systematic literature review of video forgery detection techniques

引用

Multimedia Tools and Applications 2025年 1-51页

作者： Aulakh, Manpreet Kaur Kanwal, Navdeep Bansal, Manish Department of Computer Science and Engineering Punjabi University Patiala Punjab Patiala India Department of Computer Science Baba Farid Group of Institutions Punjab Bathinda India

In the last decade, due to the widespread and inexpensive availability of digital video cameras, digital videos (DV) are employed for security purposes daily, and they are generally regarded as a more credible form of evidence than still photographs. Due to the tremendous growth of video editing tools, anyone with access to advanced editing software and a modern Smartphone can easily do digital video manipulations and fake it. As a result, to utilize video content as proof in court, it is necessary to evaluate and determine whether it is original or modified. To check the integrity and validity of video recordings, digital forgery detection techniques are required. The objective of the study is to present a systematic review of techniques for detecting forgery in digital videos. We conducted a systematic literature review (SLR) in this study to present a detailed review of the initial and recent research efforts in Digital video forgery detection, summarizing 260 relevant papers from 2000 to 2023 that have presented a variety of techniques. For analysis, we have presented our references in three different ways: according to the type of forgery detected, according to the type of model or technique used and according to the feature used for forgery detection. We look through the several datasets that are cited in articles and determine their applicable domain. Then, we looked at the numerous measuring metrics employed by different research papers and compared the effectiveness of deep and non-deep models in each category of forgery that was found. Finally, research gaps concerning passive video forgery detection are classified and highlighted. A comparison between our survey and other existing survey articles has been presented in the paper. Researchers who wish to work on video forgery detection will get assistance to determine what kind of efforts in forgery detection work is still required. This survey will also help to select techniques and features based on their

关键词： Video recording

来源：评论

学校读者我要写书评

暂无评论

Automated cybersecurity compliance and threat response using AI, blockchain and smart contracts

引用

International Journal of Information Technology (Singapore) 2025年第2期17卷 767-781页

作者： Alevizos, Lampis UCLan-School of Engineering and Computer Science Volvo Group Amsterdam Netherlands

To address the challenges of internal security policy compliance and dynamic threat response in organizations, we present a novel framework that integrates artificial intelligence (AI), blockchain, and smart contracts. We propose a system that automates the enforcement of security policies, reducing manual effort and potential human error. Utilizing AI, we can analyse cyber threat intelligence rapidly, identify non-compliances and automatically adjust cyber defence mechanisms. Blockchain technology provides an immutable ledger for transparent logging of compliance actions, while smart contracts ensure uniform application of security measures. The framework’s effectiveness is demonstrated through simulations, showing improvements in compliance enforcement rates and response times compared to traditional methods. Ultimately, our approach provides for a scalable solution for managing complex security policies, reducing costs and enhancing the efficiency while achieving compliance. Finally, we discuss practical implications and propose future research directions to further refine the system and address implementation challenges. © The Author(s) 2024.

关键词： Artificial intelligence Automation Blockchain Compliance Cyber threat intelligence Security Smart contracts

来源：评论

学校读者我要写书评

暂无评论

HAMF: A novel Hierarchical Attention based Multi-modal Fusion model for Parkinson’s Disease Classification and Severity Prediction

引用

IEEE Access 2025年 13卷 81252-81278页

作者： Palakayala, Anitha Rani Kuppusamy, P. Kothandaraman, D. Gunakala, Archana Gera, Jaideep VIT-AP University School of Computer Science and Engineering Andhra Pradesh Amaravati522237 India St. Mary’s Group of Institutions Department of Computer Science and Engineering Andhra Pradesh Guntur522212 India

Parkinson’s Disease (PD) is a neurodegenerative disorder that requires correct diagnosis and continuous monitoring of the disease severity. The state-of-the-art methods tend to be unimodal or lack robustness in generalizing between modalities, and hence cannot be applied clinically in diverse populations. A comprehensive approach is a multi-modal framework that overcomes these limitations by integration of brain Magnetic Resonance Imaging (MRI) data, gait analysis, and speech signals for enhanced classification and severity estimation of PD. A Hierarchical Attention-based Multi-modal Fusion (HAMF) model is developed in this paper to employ hierarchical attention mechanism at feature and decision levels to help the model learn representations at various levels. This leads to richer feature extraction, besides fusing different data modalities with accurate integration. Genetic Algorithm (GA) and Particle Swarm Optimization (PSO) methods are used in optimizing the model, by which the convergence speed raised by 15-20 %. An accuracy of 94.2 % was achieved, thus improving by 4-5 %, compared to the existing methodologies. Temporal Convolutional Network (TCN) which can capture long-range temporal dependencies, was used in the longitudinal severity estimation task, achieving a Mean Squared Error (MSE) of 0.12 in disease progression forecasting. Beyond this, Domain-Adversarial Neural Network (DANN) enables improved cross-domain generalization and maintains a consistent classification accuracy of 90-93% on diversified datasets. Finally, SHapley Additive exPlanations - Class Activation Maps (SHAP-CAM) further enhanced the model explainability. During the conduct of this work, 85% of all cases provided clinically interpretable insights that allowed clinicians to conduct personalized treatment planning in a more robust and interpretable way. This work substantially extends current multi-modal diagnosis and analysis of PD progression by offering a robust and interpretable tool to

关键词： Neurodegenerative diseases

来源：评论

学校读者我要写书评

暂无评论

Mechanical Constraint Identification in Model-Mediated Teleoperation

引用

IEEE Robotics and Automation Letters 2025年第6期10卷 5777-5782页

作者： Van Der Walt, Christophe Stramigioli, Stefano Dresscher, Douwe University of Twente Robotics and Mechatronics Group Faculty of Electrical Engineering Mathematics and Computer Science NB Enschede7522 Netherlands

Model-Mediated Teleoperation (MMT) is a form of teleoperation where a model is used to display operator commands to the environment and environmental feedback to the operator. This circumvents the performance-stability trade-off to which many other teleoperation methods are prone under high time delays. An aspect of MMT which has received little attention is the modelling of rigid-body constraints, which are important for many manipulation tasks. In this paper, we detail a description of rigid body constraints and highlight a specific type of contact: the Lower Pair, of which the contacts found in hinged doors and household drawers, for instance, are examples. We also present a method for estimating these Lower Pairs and test it in a real world scenario. Results show that it is robust to measurement noise, as well as small amounts of movement in the constrained directions. © 2016 IEEE.

关键词： Remote control

来源：评论

学校读者我要写书评

暂无评论

Advancing Emotional Voice Conversion: Transforming Fundamental Frequency and Mel-Cepstral Coefficients Using Cycle Consistent Adversarial Networks with Two-Step Adversarial Loss and Patch-Based Discriminators

引用

Human-centric Computing and Information sciences 2025年 15卷 1-18页

作者： Larraín, Pablo Díaz Patricio, Miguel A. Berlanga, Antonio Molina, José M. Engineering Team Grupo MasMovil Madrid Spain Computer Science and Engineering Department Applied Artificial Intelligence Group Universidad Carlos III de Madrid Spain

The aim of emotional voice conversion (EVC) is to alter the emotional content of spoken utterances without compromising the speaker’s identity or linguistic content. Many EVC frameworks rely on scarce parallel data recorded by actors. This paper proposes a novel framework for EVC that leverages non-parallel data through cycle consistent adversarial networks (CycleGANs). CycleGANs learn to transform input data between domains using a cycle loss that regularizes training by ensuring the reconstructed inputs match the original inputs in both domains. Despite their use in various voice conversion tasks, CycleGANs often produce audio with degraded quality, largely due to the oversmoothing of speech features. To address these issues, we devised two distinct CycleGAN-based methods within the aforementioned framework: the first method incorporates a two-step adversarial loss, while the second method enhances this by incorporating patch-based (PatchGAN) discriminators. Prior research has demonstrated that these techniques alleviate the oversmoothing of the spectrum and have shown superior capability in capturing dynamic spectral variations. In this work, we incorporate these enhancements not only to transform the spectrum, but also the fundamental frequency (F0), a speech feature that is strongly related to intonation and expression of emotion. The objective evaluation of the proposed methods shows improvements over the baseline in both Mel-cepstrum distortion and root-mean-square error, as well as in the Pearson correlation coefficient of the F0 transformation. Furthermore, subjective evaluations using the mean opinion score (MOS) and similarity MOS indicate that our model outperforms the baseline model in terms of naturalness and similarity to the target emotion. © (2025), (Korea Information Processing Society). All rights reserved.

关键词： Discriminators

来源：评论

学校读者我要写书评

暂无评论

A value driven framework for cybersecurity innovation in transportation and infrastructure

引用

International Journal of Information Technology (Singapore) 2025年第1期17卷 321-331页

作者： Alevizos, Lampis Bhakuni, Lalit Jäschke, Stefan Volvo Group & amp UCLan School of Engineering and Computer Science Amsterdam Netherlands Volvo Group Amsterdam Netherlands Volvo Group Gothenburg Sweden

This paper introduces a value-driven cybersecurity innovation framework for the transportation and infrastructure sectors, as opposed to the traditional market-centric approaches that have dominated the field. Recontextualizing innovation categories into sustaining, incremental, disruptive, and transformative, we aim to foster a culture of self-innovation within organizations, enabling a strategic focus on cybersecurity measures that directly contribute to business value and strategic goals. This approach enhances operational effectiveness and efficiency of cyber defences primarily, while also aligns cybersecurity initiatives with mission-critical objectives. We detail a practical method for evaluating the business value of cybersecurity innovations and present a pragmatic approach for organizations to funnel innovative ideas in a structured and repeatable manner. Lastly, shifting the focus from general market appeal to sector-specific needs, our framework provides cybersecurity leaders with the strategic cyber-foresight necessary for prioritizing impactful initiatives, thereby making cybersecurity a core business enabler rather than a burden. © The Author(s) 2024.

关键词： Breakthrough Cybersecurity Disruptive Framework Incremental Infrastructure Innovation Sustaining Transportation Value-driven

来源：评论

学校读者我要写书评

暂无评论

Multidimensional image morphing-fast image-based rendering of open 3D and VR environments

引用

虚拟现实与智能硬件(中英文) 2025年第2期7卷 155-172页

作者： Simon SEIBT Bastian KUTH Bartosz von Rymon LIPINSKI Thomas CHANG Marc Erich LATOSCHIK Game Tech Laboratory Faculty of Computer ScienceNuremberg Institute of TechnologyNuremberg 90489Germany Department of Electrical Engineering and Computer Science Coburg University of Applied Sciences and ArtsCoburg 96450Germany Human-Computer Interaction Group Institute of Computer ScienceUniversity of WuerzburgWuerzburg 97074Germany

Background In recent years,the demand for interactive photorealistic three-dimensional(3D)environments has increased in various fields,including architecture,engineering,and ***,achieving a balance between the quality and efficiency of high-performance 3D applications and virtual reality(VR)remains *** This study addresses this issue by revisiting and extending view interpolation for image-based rendering(IBR),which enables the exploration of spacious open environments in 3D and ***,we introduce multimorphing,a novel rendering method based on the spatial data structure of 2D image patches,called the image *** this approach,novel views can be rendered with up to six degrees of freedom using only a sparse set of *** rendering process does not require 3D reconstruction of the geometry or per-pixel depth information,and all relevant data for the output are extracted from the local morphing cells of the image *** detection of parallax image regions during preprocessing reduces rendering artifacts by extrapolating image patches from adjacent cells in *** addition,a GPU-based solution was presented to resolve exposure inconsistencies within a dataset,enabling seamless transitions of brightness when moving between areas with varying light *** Experiments on multiple real-world and synthetic scenes demonstrate that the presented method achieves high"VR-compatible"frame rates,even on mid-range and legacy hardware,*** achieving adequate visual quality even for sparse datasets,it outperforms other IBR and current neural rendering *** Using the correspondence-based decomposition of input images into morphing cells of 2D image patches,multidimensional image morphing provides high-performance novel view generation,supporting open 3D and VR ***,the handling of morphing artifacts in the parallax image regions remains a topic for future resea

关键词： computer graphics 3D real-time rendering computer vision Image morphing Virtual reality

来源：评论

学校读者我要写书评

暂无评论

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案：

请选择收藏分类：

通借通还

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：